Corey Nolet

Corey is a data scientist and principal engineer on the RAPIDS ML team at NVIDIA, where he focuses on building and scaling machine learning algorithms to support extreme data loads at light speed. Prior to working at NVIDIA, Corey spent over a decade building massive-scale exploratory data science & real-time analytics platforms for big-data and HPC environments in the defense industry. Corey holds Bs. & Ms. degrees in Computer Science. He is also working towards his Ph.D. in the same discipline, focused on the acceleration of algorithms at the intersection of graph and machine learning. Corey has a passion for using data to make better sense of the world.
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Posts by Corey Nolet

Data Science Aug 18, 2026

Run Massive-Scale UMAP in Minutes Using Multiple GPUs—Without Losing Accuracy

Uniform Manifold Approximation and Projection (UMAP) is a dimensionality reduction technique widely used for visualization and feature extraction. Applications... 11 MIN READ
Developer Tools & Techniques Nov 06, 2025

Enhancing GPU-Accelerated Vector Search in Faiss with NVIDIA cuVS

As companies collect more unstructured data and increasingly use large language models (LLMs), they need faster and more scalable systems. Advanced tools for... 11 MIN READ
Data Science Jul 24, 2025

Optimizing Vector Search for Indexing and Real-Time Retrieval with NVIDIA cuVS

AI-powered search demands high-performance indexing, low-latency retrieval, and seamless scalability. NVIDIA cuVS brings GPU-accelerated vector search and... 7 MIN READ
Workflow diagram for disaggregating data into clusters and running in batches and merging.
Data Science Oct 31, 2024

Even Faster and More Scalable UMAP on the GPU with NVIDIA cuML

UMAP is a popular dimension reduction algorithm used in fields like bioinformatics, NLP topic modeling, and ML preprocessing. It works by creating a k-nearest... 12 MIN READ
Data Science Oct 03, 2024

Event: Community Over Code

Learn about accelerating vector search with NVIDIA cuVS and Apache Solr on October 10 at Community Over Code. 1 MIN READ
Data Science Aug 15, 2024

Bringing Confidentiality to Vector Search with Cyborg and NVIDIA cuVS

In the era of generative AI, vector databases have become indispensable for storing and querying high-dimensional data efficiently. However, like all databases,... 7 MIN READ